/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.ml; /** * Defines a MLMethod that can handle autoassocation. Autoassociation is a * simple form of pattern recognition where the MLMethod echos back the * exact pattern that the input most closely matches. For example, if the * autoassociative MLMethod were trained to recognize an 8x8 grid of * characters, the return value would be the entire 8x8 grid of the * character recognized. * * This is the type of recognition performed by Hopfield Networks. It is * also an optional recognition form used by GR/PNN's. This is a form of * unsupervised training. * */ public interface MLAutoAssocation extends MLRegression { }